This $300,000 EAGER grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research at South Dakota State University (SDSU) to analyze collaboration patterns and socioeconomic impacts of emerging science and technology areas using machine learning algorithms.
The project has three primary initiatives: 1) Leveraging multimodal machine learning to forecast the emergence of new science and technology areas; 2) Evaluating the regional societal and economic impacts of leading research organizations using graph neural networks; and 3) Developing a hybrid approach to monitor workforce development demographics in these technology sectors. The research aims to provide early insights into the effort and investment required to transition emerging technologies from R&D to productive stages, as well as forecast potential economic and societal impacts at regional levels. This interdisciplinary effort involves collaboration between computer scientists, sociologists, and economists to advance spatial data mining, graph neural networks, and technology trend prediction capabilities. The award period runs from Sep 1, 2024 to Aug 31, 2026.
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